Is DeepSeek-V3 or Qwen3-32B cheaper?

Per-token pricing isn't published for at least one of these models, check each model's spec page for current rates.

Which has the larger context window?

Both DeepSeek-V3 and Qwen3-32B ship a 128K-token context window.

Is DeepSeek-V3 or Qwen3-32B better for coding?

Both DeepSeek-V3 and Qwen3-32B are competitive on coding benchmarks. See each model's individual spec page for HumanEval and SWE-bench scores where published. For an opinionated pick, consult our Best LLM for Coding ranking.

Are either of these models open source?

Both ship with open weights. DeepSeek-V3 is licensed under MIT; Qwen3-32B under Apache-2.0.

When were DeepSeek-V3 and Qwen3-32B released?

DeepSeek-V3 was released by DeepSeek on 2024-12-26. Qwen3-32B was released by Alibaba on 2025-04-29.

Is DeepSeek-V3 or Qwen3-32B cheaper?

Per-token pricing isn't published for at least one of these models, check each model's spec page for current rates.

Which has the larger context window?

Both DeepSeek-V3 and Qwen3-32B ship a 128K-token context window.

Is DeepSeek-V3 or Qwen3-32B better for coding?

Both DeepSeek-V3 and Qwen3-32B are competitive on coding benchmarks. See each model's individual spec page for HumanEval and SWE-bench scores where published. For an opinionated pick, consult our Best LLM for Coding ranking.

Are either of these models open source?

Both ship with open weights. DeepSeek-V3 is licensed under MIT; Qwen3-32B under Apache-2.0.

When were DeepSeek-V3 and Qwen3-32B released?

DeepSeek-V3 was released by DeepSeek on 2024-12-26. Qwen3-32B was released by Alibaba on 2025-04-29.

DeepSeek-V3 vs Qwen3-32B

A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.

UpdatedApr 30, 2026

DeepSeek-V3 specs · Qwen3-32B specs

Verdict by category

PriceDeepSeek-V3
DeepSeek-V3 publishes pricing ($1.10 / 1M output tokens) while Qwen3-32B does not.
Context windowTie
Both ship a 128K-token context window.
BenchmarksTie
No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores.
ModalitiesTie
Both handle text.
OpennessTie
Both ship open weights, self-host either one.

On balance DeepSeek-V3 edges ahead, winning 1 of 5 categories against Qwen3-32B's 0. DeepSeek-V3 publishes pricing ($1.10 / 1M output tokens) while Qwen3-32B does not. Both ship a 128K-token context window.

No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. Both target the same set of modalities (text), so the deciding factors are price, context, and raw quality. Both ship open weights, self-host either one.

Qwen3-32B is the newer of the two, released 4 months after DeepSeek-V3, which usually means a more recent knowledge cutoff and updated safety post-training. DeepSeek-V3 is usually picked for open source llm and commercial use llm workloads, while Qwen3-32B sees more deployments in open source llm and edge deployment. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

Spec	DeepSeek-V3	Qwen3-32B
Provider	DeepSeek	Alibaba
Released	Dec 2024	Apr 2025
Modalities	text	text
Context window	128K tokens	128K tokens
Max output	,	,
Input · 1M	$0.27 / 1M tokens	Pricing not published
Output · 1M	$1.10 / 1M tokens	Pricing not published
Knowledge cutoff	2024-07	,
Open weights	Yes (MIT)	Yes (Apache-2.0)
API available	Yes	Yes

Pricing at scale

What you'd actually pay at typical workloads. Numbers come from each model's published per-million-token rates.

Light usage, 100k in / 50k out per day$2.46 vs ,
Heavy usage, 1M in / 500k out per day$24.60 vs ,
RAG workload, 5M in / 200k out per day$47.10 vs ,

Light usage, 100k in / 50k out per day: pricing not directly comparable (one or both models are missing public per-token rates). Heavy usage, 1M in / 500k out per day: pricing not directly comparable (one or both models are missing public per-token rates). RAG workload, 5M in / 200k out per day: pricing not directly comparable (one or both models are missing public per-token rates).

Price calculator

Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.

Input tokens / dayOutput tokens / dayHorizon

DeepSeek-V3$0.082
Qwen3-32BPricing unavailable

Benchmarks compared

Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.

DeepSeek-V3Qwen3-32B

MMLU88.5
HumanEval90.0

Pick DeepSeek-V3 if

DeepSeek-V3 fits when…

Frontier-level quality at open-weight prices
MIT license, clean commercial use
Cheap to serve via MoE architecture

Pick Qwen3-32B if

Qwen3-32B fits when…

Apache-2.0
Fits modest hardware budgets

Don't want either?

Consider DeepSeek-R1

First open-weight reasoning model to match o1, the release that proved RL-from-scratch reasoning training was reproducible.

See DeepSeek-R1 specs DeepSeek-V3 vs DeepSeek-R1 Qwen3-32B vs DeepSeek-R1

Frequently asked

Is DeepSeek-V3 or Qwen3-32B cheaper?
Per-token pricing isn't published for at least one of these models, check each model's spec page for current rates.
Which has the larger context window?
Both DeepSeek-V3 and Qwen3-32B ship a 128K-token context window.
Is DeepSeek-V3 or Qwen3-32B better for coding?
Both DeepSeek-V3 and Qwen3-32B are competitive on coding benchmarks. See each model's individual spec page for HumanEval and SWE-bench scores where published. For an opinionated pick, consult our Best LLM for Coding ranking.
Are either of these models open source?
Both ship with open weights. DeepSeek-V3 is licensed under MIT; Qwen3-32B under Apache-2.0.
When were DeepSeek-V3 and Qwen3-32B released?
DeepSeek-V3 was released by DeepSeek on 2024-12-26. Qwen3-32B was released by Alibaba on 2025-04-29.

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